Speaker Verification Using Autoregressive Spectrum of Speech Signal in Composite Vector Stochastic Processes Model Representation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915277" target="_blank" >RIV/00216275:25530/19:39915277 - isvavai.cz</a>
Result on the web
<a href="http://www.journalimcms.org/special_issue/speaker-verification-using-autoregressive-spectrum-of-speech-signal-in-composite-vector-stochastic-processes-model-representation/" target="_blank" >http://www.journalimcms.org/special_issue/speaker-verification-using-autoregressive-spectrum-of-speech-signal-in-composite-vector-stochastic-processes-model-representation/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.26782/jmcms.spl.4/2019.11.00018" target="_blank" >10.26782/jmcms.spl.4/2019.11.00018</a>

Result language
angličtina
Original language name
Speaker Verification Using Autoregressive Spectrum of Speech Signal in Composite Vector Stochastic Processes Model Representation
Original language description
This paper deals with the speaker verification system similar to a fingerprint or an eye scanner. For these purpose a long-term words' model and its spectral characteristics were used. The speaker verification method uses the word's sound parametric spectrum factorization in composite vector stochastic process representation based on the multiplicative autoregressive model. The developed method enables to receive the words' features with stable characteristics for the same speaker and differ for different speakers. During the training phase speaker's etalon frequencies has to be estimated for a pronounced word repeated several times. In the verification phase a speaker pronouncing the same word, word's frequencies are estimated and compared with the etalon frequencies database to find the best match or his deny. The results presented in the paper showed the high correct identification probability.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
Journal of Mechanics of Continua and Mathematical Sciences
ISSN
2454-7190
e-ISSN
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Volume of the periodical
No. 4
Issue of the periodical within the volume
11 2019
Country of publishing house
IN - INDIA
Number of pages
13
Pages from-to
178-190
UT code for WoS article
000495435200018
EID of the result in the Scopus database
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